Other packages > Find by keyword >

hardhat  

Construct Modeling Packages
View on CRAN: Click here


Download and install hardhat package within the R console
Install from CRAN:
install.packages("hardhat")

Install from Github:
library("remotes")
install_github("cran/hardhat")

Install by package version:
library("remotes")
install_version("hardhat", "1.4.3")



Attach the package and use:
library("hardhat")
Maintained by
Hannah Frick
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-12-16
Latest Update: 2025-01-31
Description:
Building modeling packages is hard. A large amount of effort generally goes into providing an implementation for a new method that is efficient, fast, and correct, but often less emphasis is put on the user interface. A good interface requires specialized knowledge about S3 methods and formulas, which the average package developer might not have. The goal of 'hardhat' is to reduce the burden around building new modeling packages by providing functionality for preprocessing, predicting, and validating input.
How to cite:
Hannah Frick (2019). hardhat: Construct Modeling Packages. R package version 1.4.3, https://cran.r-project.org/web/packages/hardhat. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:46), 0.1.0 (2019-12-16 11:00), 0.1.1 (2020-01-09 00:01), 0.1.2 (2020-02-28 08:20), 0.1.3 (2020-05-20 19:30), 0.1.4 (2020-07-02 16:40), 0.1.5 (2020-11-09 17:50), 0.1.6 (2021-07-14 23:30), 0.2.0 (2022-01-24 22:12), 1.0.0 (2022-06-01 23:30), 1.1.0 (2022-06-10 17:30), 1.2.0 (2022-06-30 15:50), 1.3.0 (2023-03-30 11:20), 1.3.1 (2024-02-02 16:20), 1.4.0 (2024-06-02 18:30), 1.4.1 (2025-01-31 16:20), 1.4.2 (2025-08-20 07:01)
Other packages that cited hardhat R package
View hardhat citation profile
Other R packages that hardhat depends, imports, suggests or enhances
Complete documentation for hardhat
Functions, R codes and Examples using the hardhat R package
Some associated functions: add_intercept_column . contr_one_hot . default_formula_blueprint . default_recipe_blueprint . default_xy_blueprint . delete_response . extract_ptype . fct_encode_one_hot . forge . frequency_weights . get_data_classes . get_levels . hardhat-example-data . hardhat-extract . hardhat-package . importance_weights . is_blueprint . is_case_weights . is_frequency_weights . is_importance_weights . model_frame . model_matrix . model_offset . modeling-usethis . mold . new-blueprint . new-default-blueprint . new_case_weights . new_frequency_weights . new_importance_weights . new_model . recompose . refresh_blueprint . run-forge . run-mold . scream . shrink . spruce-multiple . spruce . standardize . tune . update_blueprint . validate_column_names . validate_no_formula_duplication . validate_outcomes_are_binary . validate_outcomes_are_factors . validate_outcomes_are_numeric . validate_outcomes_are_univariate . validate_prediction_size . validate_predictors_are_numeric . weighted_table . 
Some associated R codes: blueprint-formula-default.R . blueprint-formula.R . blueprint-recipe-default.R . blueprint-recipe.R . blueprint-xy-default.R . blueprint-xy.R . blueprint.R . case-weights.R . classes.R . compost.R . constructor.R . delete-response.R . encoding.R . extract.R . forge.R . hardhat-example-data.R . hardhat-package.R . import-standalone-obj-type.R . import-standalone-purrr.R . import-standalone-types-check.R . intercept.R . levels.R . model-frame.R . model-matrix.R . model-offset.R . mold.R . new.R . print.R . ptype.R . recompose.R . scream.R . shrink.R . spruce.R . standardize.R . table.R . tune.R . use.R . util.R . validation.R .  Full hardhat package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
ggTimeSeries  
Time Series Visualisations Using the Grammar of Graphics
Provides additional display mediums for time series visualisations. ...
Download / Learn more Package Citations See dependency  
skewlmm  
Scale Mixture of Skew-Normal Linear Mixed Models
It fits scale mixture of skew-normal linear mixed models using an expectation–maximization (EM) ty ...
Download / Learn more Package Citations See dependency  
splm  
Econometric Models for Spatial Panel Data
ML and GM estimation and diagnostic testing of econometric models for spatial panel data. ...
Download / Learn more Package Citations See dependency  
plaqr  
Partially Linear Additive Quantile Regression
Estimation, prediction, thresholding, transformation, and plotting for partially linear additive qua ...
Download / Learn more Package Citations See dependency  
PairedData  
Paired Data Analysis
Many datasets and a set of graphics (based on ggplot2), statistics, effect sizes and hypothesis test ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA